Paper Info
Title
Activity-based serendipitous recommendations with the Magitti mobile leisure guide
Abstract
This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and, without its user having to issue a query, automatically generates recommendations for content matching. Extensive field studies of leisure time practices in an urban setting (Tokyo) motivated the idea, shaped the details of its design and provided data describing typical behavior patterns. The paper describes the fieldwork, user interface, system components and functionality, and an evaluation of the Magitti prototype.
Year
DOI
Venue
2008
10.1145/1357054.1357237
CHI
Keywords
Field
DocType
codenamed magitti,magitti prototype,user interface,magitti mobile leisure guide,user behavior,user activity,typical behavior pattern,extensive field study,system component,activity-based serendipitous recommendation,content matching,context-aware mobile recommender system,interaction,field study,recommender system,user experience,field studies,design
Recommender system,World Wide Web,User experience design,Computer science,Human–computer interaction,User modeling,User interface,User interface design,Computer user satisfaction,Multimedia,User journey
Conference
Citations 
PageRank 
References 
96
4.97
29
Authors
14
Name
Order
Citations
PageRank
V. Bellotti13803441.00
James "Bo" Begole263865.25
Ed H. Chi34806371.21
Nicolas Ducheneaut42284162.30
Ji Fang5975.34
Ellen A. Isaacs679895.78
Tracy King7964.97
Mark W. Newman81756138.40
Kurt Partridge947529.14
Bob Price1048131.72
Paul Rasmussen111196.65
Michael Roberts121757.69
Diane J. Schiano131021115.98
Alan Walendowski1444536.74